Shuai Zhang

Orcid: 0000-0002-4821-6404

Affiliations:
  • University of Ulster, UK


According to our database1, Shuai Zhang authored at least 61 papers between 2006 and 2023.

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Bibliography

2023
Performance evaluation of multivariate statistical techniques using edge-enabled optimisation for change detection in activity monitoring.
J. Cloud Comput., December, 2023

Deep learning for network intrusion: A hierarchical approach to reduce false alarms.
Intell. Syst. Appl., May, 2023

Process Mining IPTV Customer Eye Gaze Movement Using Discrete-Time Markov Chains.
Algorithms, February, 2023

Evaluation of radial basis function neural network minimizing L-GEM for sensor-based activity recognition.
J. Ambient Intell. Humaniz. Comput., 2023

Eye Gaze Analysis Towards an AI System for Dynamic Content Layout.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

2022
Automatic Assessment of the Type and Intensity of Agitated Hand Movements.
J. Heal. Informatics Res., December, 2022

A Deep Clustering via Automatic Feature Embedded Learning for Human Activity Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2022

Modelling mobile-based technology adoption among people with dementia.
Pers. Ubiquitous Comput., 2022

Towards automatic placement of media objects in a personalised TV experience.
Multim. Syst., 2022

Profiling Television Watching Behavior Using Bayesian Hierarchical Joint Models for Time-to-Event and Count Data.
IEEE Access, 2022

2021
Sequence Mining TV Viewing Data Using Embedded Markov Modelling.
Proceedings of the 2021 IEEE SmartWorld, 2021

2020
Radial Basis Function Neural Network with Localized Stochastic-Sensitive Autoencoder for Home-Based Activity Recognition.
Sensors, 2020

Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments.
Sensors, 2020

Dose Regulation Model of Norepinephrine Based on LSTM Network and Clustering Analysis in Sepsis.
Int. J. Comput. Intell. Syst., 2020

IoT reliability: a review leading to 5 key research directions.
CCF Trans. Pervasive Comput. Interact., 2020

A Markov Model to Detect Sensor Failure in IoT Environments.
Proceedings of the 2020 IEEE World Congress on Services, 2020

Minority Oversampling Using Sensitivity.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Adoption of the activation function fusion approach to identify human activity recognition in a semi-supervised neural network.
EAI Endorsed Trans. Pervasive Health Technol., 2019

Impact Analysis of Erroneous Data on IoT Reliability.
Proceedings of the 2019 IEEE SmartWorld, 2019

A Public Domain Dataset for Human Activity Recognition in Free-Living Conditions.
Proceedings of the 2019 IEEE SmartWorld, 2019

Using Eye Tracking to Gain Insight into TV Customer Experience by Markov Modelling.
Proceedings of the 2019 IEEE SmartWorld, 2019

Preliminary evaluation of a self-management health app by people with cognitive impairment.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Undersampling Near Decision Boundary for Imbalance Problems.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018
Ambient Assisted Living for Improvement of Health and Quality of Life - A Special Issue of the Journal of <i>Informatics</i>.
Informatics, 2018

Ensemble classifier of long short-term memory with fuzzy temporal windows on binary sensors for activity recognition.
Expert Syst. Appl., 2018

Real-time Recognition of Interleaved Activities Based on Ensemble Classifier of Long Short-Term Memory with Fuzzy Temporal Windows.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Portal Design for the Open Data Initiative: A Preliminary Study.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Transfer Learning and Data Fusion Approach to Recognize Activities of Daily Life.
Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018

2017
Sensor-Based Change Detection for Timely Solicitation of User Engagement.
IEEE Trans. Mob. Comput., 2017

Human Activity Recognition Using Radial Basis Function Neural Network Trained via a Minimization of Localized Generalization Error.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

2016
Optimal Parameter Exploration for Online Change-Point Detection in Activity Monitoring Using Genetic Algorithms.
Sensors, 2016

Modelling assistive technology adoption for people with dementia.
J. Biomed. Informatics, 2016

Improving the Quality of User Generated Data Sets for Activity Recognition.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

Change Point Detection Using Multivariate Exponentially Weighted Moving Average (MEWMA) for Optimal Parameter in Online Activity Monitoring.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

Impact of Medical History on Technology Adoption in Utah Population Database.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

Environment Simulation for the Promotion of the Open Data Initiative.
Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016

Technology adoption and prediction tools for everyday technologies aimed at people with dementia.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Using Genetic Algorithms for Optimal Change Point Detection in Activity Monitoring.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

2015
Parameter Optimization for Online Change Detection in Activity Monitoring Using Multivariate Exponentially Weighted Moving Average (MEWMA).
Proceedings of the Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information, 2015

2014
A Predictive Model for Assistive Technology Adoption for People With Dementia.
IEEE J. Biomed. Health Informatics, 2014

Evaluation of Prompted Annotation of Activity Data Recorded from a Smart Phone.
Sensors, 2014

Clustering semantically heterogeneous distributed aggregate databases.
Knowl. Inf. Syst., 2014

Development of a Technology Adoption and Usage Prediction Tool for Assistive Technology for People with Dementia.
Interact. Comput., 2014

Online Change Detection for Timely Solicitation of User Interaction.
Proceedings of the Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services, 2014

Predicting Technology Adoption in People with Dementia; Initial Results from the TAUT Project.
Proceedings of the Ambient Assisted Living and Daily Activities, 2014

A knowledge-driven approach to predicting technology adoption among Persons with Dementia.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Mobile Based Prompted Labeling of Large Scale Activity Data.
Proceedings of the Ambient Assisted Living and Active Aging, 2013

Prediction of Assistive Technology Adoption for People with Dementia.
Proceedings of the Health Information Science - Second International Conference, 2013

2012
Probabilistic Learning From Incomplete Data for Recognition of Activities of Daily Living in Smart Homes.
IEEE Trans. Inf. Technol. Biomed., 2012

2011
Managing Sensor Data in Ambient Assisted Living.
J. Comput. Sci. Eng., 2011

Utilizing Wearable Sensors to Investigate the Impact of Everyday Activities on Heart Rate.
Proceedings of the Toward Useful Services for Elderly and People with Disabilities, 2011

A framework for context-aware online physiological monitoring.
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

2010
An intervention mechanism for assistive living in smart homes.
J. Ambient Intell. Smart Environ., 2010

Deriving Relationships between Physiological Change and Activities of Daily Living Using Wearable Sensors.
Proceedings of the Sensor Systems and Software - Second International ICST Conference, 2010

Using duration to learn activities of daily living in a smart home environment.
Proceedings of the 4th International Conference on Pervasive Computing Technologies for Healthcare, 2010

Incorporating Duration Information in Activity Recognition.
Proceedings of the Knowledge Science, 2010

2009
Learning from semantically heterogeneous aggregate data in a distributed environment.
PhD thesis, 2009

2008
Decision Support for Alzheimer's Patients in Smart Homes.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007
Knowledge Discovery from Semantically Heterogeneous Aggregate Databases Using Model-Based Clustering.
Proceedings of the Data Management. Data, 2007

2006
Interoperability and Integration of Independent Heterogeneous Distributed Databases over the Internet.
Proceedings of the Flexible and Efficient Information Handling, 2006

Model-based Clustering on Semantically Heterogeneous Distributed Databases on the Internet.
Proceedings of the Semantic Web for Collaborative Knowledge Acquisition, 2006


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